42efe026c5
Model: ali-elganzory/open-sci-ref-v0.02-1.7b-nemotron-hq-300B-16384-rope_theta-1M-long_sft_16k Source: Original Platform
1.5 KiB
1.5 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | open-sci/open-sci-ref-v0.02-1.7b-nemotron-hq-300B-16384-rope_theta-1M |
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1.7b-Nemotron-cc-2024-HQ-real-synth-mix-16k
This model is a fine-tuned version of open-sci/open-sci-ref-v0.02-1.7b-nemotron-hq-300B-16384-rope_theta-1M on the long_sft dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.57.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.1